Because of the bad weather I tried to update my old HTC Magic phone to the new Android 2.2 today: I wanted to have the latest and greatest Android features . However, some tweaks were necessary to get a real nice performance. One has to go through long forum posts to optimize the system etc., therefore here is a short summary. (These tips might be also helpful on other old phones, like the G1)
But it's worth the hassle: now the HTC Magic feels like an expensive, recent Desire phone !

Do you want to influence a humans behavior ?
Or maybe induce some thoughts in the brain of all people listening to a specific radio channel ?
Then you found the right blog entry, which will present you a
Pure Data program to change the attitude of your
desired audience ...

Echo state networks (ESNs) are a novel approach to recurrent neural network training with the advantage of a very simple and linear learning algorithm. It has been demonstrated that ESNs outperform other methods on a number of benchmark tasks. Although the approach is appealing, there are still some inherent limitations in the original formulation.

Here we suggest two enhancements of this network model.
First, the previously proposed idea of filters in neurons is extended to arbitrary infinite impulse response (IIR) filter neurons. This enables such networks to learn multiple attractors and signals at different timescales, which is especially important for modeling real-world time series.
Second, a delay&sum readout is introduced, which adds trainable delays in the synaptic connections of output neurons and therefore vastly improves the memory capacity of echo state networks.

It is shown in commonly used benchmark tasks and real-world examples, that this new structure is able to significantly outperform standard ESNs and other state-of-the-art models for nonlinear dynamical system modeling.